Olivier Dehaene
Publications by Year
Research Areas
COVID-19 diagnosis using AI, COVID-19 Clinical Research Studies, Neuroendocrine Tumor Research Advances, Lung Cancer Research Studies, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → StarCoder: may the source be with you!(2023)192 cited
- → Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients(2021)178 cited
- → Diagnosis of focal liver lesions from ultrasound using deep learning(2019)162 cited
- → Detection and characterization of MRI breast lesions using deep learning(2019)112 cited
- → Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology(2020)49 cited
- → Self supervised learning improves dMMR/MSI detection from histology\n slides across multiple cancers(2021)19 cited
- → AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients(2020)11 cited
- → Automatic Construction of a Phonics Curriculum for Reading Education Using the Transformer Neural Network(2019)8 cited
- → The use of deep learning models to predict progression-free survival in patients with neuroendocrine tumors(2023)5 cited